Willkommen auf dem Bärenmarkt.
Schriftsteller:ChaoZhang, Datum: 2022-05-16 15:39:15Tags:ATRADX
Hallo, alle zusammen.
Das ist mein erstes Konzept für die Bewegung des Bärenmarktes in naher Zukunft.
Der Bot ist für
Der Kern dieses Bots verwendet ATR Trend, um Trend zu definieren, verwendet auch rsi Wert, um neue Swingshorts zu öffnen (RSI-VWAP) oder einen perfekten Schlusspunkt zu finden (RSI OVERSOLD)
Dieser Bot ist nur ein kurzer Bot für 100% maximieren Sie den Gewinn von jeder Bewegung nach unten von Bitcoin Ich empfehle 1-3x Hebelwirkung für diesen Bot zu verwenden, wegen der hohen Menge an falschen Trades oder schließt mit minimalem Gewinn Sl beträgt etwa: 6% (nur für die beste Leistung in allen Zeitabschnitten des Backtesting)
Die kurzfristige Koordination erfolgt also:
-
Beide ADX und S_ATR nur, wenn rsi nicht überverkauft ist a) ADX ist einer der leistungsfähigsten und genauesten Trendindikatoren. ADX misst, wie stark ein Trend ist und kann wertvolle Informationen darüber geben, ob es eine potenzielle Handelsmöglichkeit gibt. b) Die durchschnittliche tatsächliche Bandbreite (ATR) ist ein technischer Analyseindikator, der vom Markttechniker J. Welles Wilder Jr. in seinem Buch New Concepts in Technical Trading Systems eingeführt wurde und die Volatilität des Marktes misst, indem er die gesamte Bandbreite eines Vermögenswertpreises für diesen Zeitraum aufspaltet
-
RSI VWAP - VWAP wird berechnet, indem die für jede Transaktion gehandelten Dollar addiert werden (Preis multipliziert mit der Anzahl der gehandelten Aktien) und dann durch die Gesamtzahl der gehandelten Aktien geteilt wird. rsi vwwap Öffnen Sie eine neue Position nur, wenn es kein Aufwärtssignal von den Indikatoren Cloud, Adx, ATR gibt
Zurückprüfung
/*backtest
start: 2022-04-15 00:00:00
end: 2022-05-14 23:59:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © wielkieef
//@version=4
src = close
//strategy("Welcome to the BEARMARKET [30MIN]", overlay=true, initial_capital = 10000, pyramiding = 1, currency = "USD", calc_on_order_fills = false, calc_on_every_tick = false, default_qty_type = strategy.fixed, default_qty_value = 1, commission_value = 0.04)
//Inputs -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
prd = input(2, title="PP period")
Factor = input(10, title = "ATR Factor")
Pd = input(14, title = "ATR Period")
len = input(2, title="Cloud Length")
ADX_options = input("CLASSIC", title="ADX OPTION", options = ["CLASSIC", "MASANAKAMURA"], group = "ADX")
ADX_len = input(17, title="ADX LENGTH", type = input.integer, minval = 1, group = "ADX")
th = input(14, title="ADX THRESHOLD", type = input.float, minval = 0, step = 0.5, group = "ADX")
len_3 = input(51, title="RSI lenght", group = "Relative Strenght Indeks")
src_3 = input(high, title="RSI Source", group = "Relative Strenght Indeks")
RSI_VWAP_length = input(22, title="Rsi vwap lenght")
//INDICATORS -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//Cloud -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
PI = 2 * asin(1)
hilbertTransform(src) =>
0.0962 * src + 0.5769 * nz(src[2]) - 0.5769 * nz(src[4]) - 0.0962 * nz(src[6])
computeComponent(src, mesaPeriodMult) =>
hilbertTransform(src) * mesaPeriodMult
computeAlpha(src, fastLimit, slowLimit) =>
mesaPeriod = 0.0
mesaPeriodMult = 0.075 * nz(mesaPeriod[1]) + 0.54
smooth = 0.0
smooth := (4 * src + 3 * nz(src[1]) + 2 * nz(src[2]) + nz(src[3])) / 10
detrender = 0.0
detrender := computeComponent(smooth, mesaPeriodMult)
I1 = nz(detrender[3])
Q1 = computeComponent(detrender, mesaPeriodMult)
jI = computeComponent(I1, mesaPeriodMult)
jQ = computeComponent(Q1, mesaPeriodMult)
I2 = 0.0
Q2 = 0.0
I2 := I1 - jQ
Q2 := Q1 + jI
I2 := 0.2 * I2 + 0.8 * nz(I2[1])
Q2 := 0.2 * Q2 + 0.8 * nz(Q2[1])
Re = I2 * nz(I2[1]) + Q2 * nz(Q2[1])
Im = I2 * nz(Q2[1]) - Q2 * nz(I2[1])
Re := 0.2 * Re + 0.8 * nz(Re[1])
Im := 0.2 * Im + 0.8 * nz(Im[1])
if Re != 0 and Im != 0
mesaPeriod := 2 * PI / atan(Im / Re)
if mesaPeriod > 1.5 * nz(mesaPeriod[1])
mesaPeriod := 1.5 * nz(mesaPeriod[1])
if mesaPeriod < 0.67 * nz(mesaPeriod[1])
mesaPeriod := 0.67 * nz(mesaPeriod[1])
if mesaPeriod < 6
mesaPeriod := 6
if mesaPeriod > 50
mesaPeriod := 50
mesaPeriod := 0.2 * mesaPeriod + 0.8 * nz(mesaPeriod[1])
phase = 0.0
if I1 != 0
phase := (180 / PI) * atan(Q1 / I1)
deltaPhase = nz(phase[1]) - phase
if deltaPhase < 1
deltaPhase := 1
alpha = fastLimit / deltaPhase
if alpha < slowLimit
alpha := slowLimit
[alpha,alpha/2.0]
er = abs(change(src,len)) / sum(abs(change(src)),len)
[a,b] = computeAlpha(src, er, er*0.1)
mama = 0.0
mama := a * src + (1 - a) * nz(mama[1])
fama = 0.0
fama := b * mama + (1 - b) * nz(fama[1])
alpha = pow((er * (b - a)) + a, 2)
kama = 0.0
kama := alpha * src + (1 - alpha) * nz(kama[1])
L_cloud = kama > kama[1]
S_cloud = kama < kama[1]
CLOUD_COLOR = L_cloud ? color.lime : S_cloud ? color.red : na
// ATR -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
float ph = pivothigh(prd, prd)
float pl = pivotlow(prd, prd)
var float center = na
float lastpp = ph ? ph : pl ? pl : na
if lastpp
if na(center)
center := lastpp
else
center := (center * 2 + lastpp) / 3
Up = center - (Factor * atr(Pd))
Dn = center + (Factor * atr(Pd))
float TUp = na
float TDown = na
Trend = 0
TUp := close[1] > TUp[1] ? max(Up, TUp[1]) : Up
TDown := close[1] < TDown[1] ? min(Dn, TDown[1]) : Dn
Trend := close > TDown[1] ? 1: close < TUp[1]? -1: nz(Trend[1], 1)
Trailingsl = Trend == 1 ? TUp : TDown
bsignal = Trend == 1 and Trend[1] == -1
ssignal = Trend == -1 and Trend[1] == 1
L_ATR = Trend == 1
S_ATR = Trend == -1
//RSI------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
up_3 = rma(max(change(src_3), 0), len_3)
down_3 = rma(-min(change(src_3), 0), len_3)
rsi_3 = down_3 == 0 ? 100 : up_3 == 0 ? 0 : 100 - (100 / (1 + up_3 / down_3))
Ob_rsi = (rsi_3 >= 70)
Os_rsi = (rsi_3 <= 30)
RSI_VWAP = rsi(vwap(close), RSI_VWAP_length)
RSI_VWAP_overSold = 13
RSI_VWAP_overBought = 68
L_VAP = (crossover(RSI_VWAP, RSI_VWAP_overSold))
S_VAP = (crossunder(RSI_VWAP, RSI_VWAP_overBought))
//ADX-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
calcADX(_len) =>
up = change(high)
down = -change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
truerange = rma(tr, _len)
_plus = fixnan(100 * rma(plusDM, _len) / truerange)
_minus = fixnan(100 * rma(minusDM, _len) / truerange)
sum = _plus + _minus
_adx = 100 * rma(abs(_plus - _minus) / (sum == 0 ? 1 : sum), _len)
[_plus,_minus,_adx]
calcADX_Masanakamura(_len) =>
SmoothedTrueRange = 0.0
SmoothedDirectionalMovementPlus = 0.0
SmoothedDirectionalMovementMinus = 0.0
TrueRange = max(max(high - low, abs(high - nz(close[1]))), abs(low - nz(close[1])))
DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? max(high - nz(high[1]), 0) : 0
DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? max(nz(low[1]) - low, 0) : 0
SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1]) /_len) + TrueRange
SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1]) / _len) + DirectionalMovementPlus
SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1]) / _len) + DirectionalMovementMinus
DIP = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
DIM = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
DX = abs(DIP-DIM) / (DIP+DIM)*100
adx = sma(DX, _len)
[DIP,DIM,adx]
[DIPlusC,DIMinusC,ADXC] = calcADX(ADX_len)
[DIPlusM,DIMinusM,ADXM] = calcADX_Masanakamura(ADX_len)
DIPlus = ADX_options == "CLASSIC" ? DIPlusC : DIPlusM
DIMinus = ADX_options == "CLASSIC" ? DIMinusC : DIMinusM
ADX = ADX_options == "CLASSIC" ? ADXC : ADXM
L_adx = DIPlus > DIMinus and ADX > th
S_adx = DIPlus < DIMinus and ADX > th
// Strategy logic ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var bool longCond = na, var bool shortCond = na
var int CondIni_long = 0, var int CondIni_short = 0
var bool _Final_longCondition = na, var bool _Final_shortCondition = na
var float last_open_longCondition = na, var float last_open_shortCondition = na
var int last_longCondition = na, var int last_shortCondition = na
var int last_Final_longCondition = na, var int last_Final_shortCondition = na
var int nLongs = na, var int nShorts = na
Short_condition = S_ATR and S_adx and not Os_rsi or S_VAP and not Os_rsi and L_cloud and L_ATR and L_adx
Short_close = L_ATR or Os_rsi or L_VAP
longCond := Short_close
shortCond := Short_condition
CondIni_long := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_long[1] )
CondIni_short := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_short[1] )
longCondition = (longCond[1] and nz(CondIni_long[1]) == -1 )
shortCondition = (shortCond[1] and nz(CondIni_short[1]) == 1 )
var float sum_long = 0.0, var float sum_short = 0.0
var float Position_Price = 0.0
var bool Final_long_BB = na, var bool Final_short_BB = na
var int last_long_BB = na, var int last_short_BB = na
last_open_longCondition := longCondition or Final_long_BB[1] ? close[1] : nz(last_open_longCondition[1] )
last_open_shortCondition := shortCondition or Final_short_BB[1] ? close[1] : nz(last_open_shortCondition[1] )
last_longCondition := longCondition or Final_long_BB[1] ? time : nz(last_longCondition[1] )
last_shortCondition := shortCondition or Final_short_BB[1] ? time : nz(last_shortCondition[1] )
in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition
last_Final_longCondition := longCondition ? time : nz(last_Final_longCondition[1] )
last_Final_shortCondition := shortCondition ? time : nz(last_Final_shortCondition[1] )
nLongs := nz(nLongs[1] )
nShorts := nz(nShorts[1] )
if longCondition or Final_long_BB
nLongs := nLongs + 1
nShorts := 0
sum_long := nz(last_open_longCondition) + nz(sum_long[1])
sum_short := 0.0
if shortCondition or Final_short_BB
nLongs := 0
nShorts := nShorts + 1
sum_short := nz(last_open_shortCondition)+ nz(sum_short[1])
sum_long := 0.0
Position_Price := nz(Position_Price[1])
Position_Price := longCondition or Final_long_BB ? sum_long/nLongs : shortCondition or Final_short_BB ? sum_short/nShorts : na
colors = (in_longCondition ? color.gray : in_shortCondition ? color.red : color.orange)
//barcolor (color = colors)
mama_p = plot(mama, title="Cloud A", color=colors )
fama_p = plot(fama, title="Cloud B", color=colors )
fill (mama_p,fama_p, color=colors )
plotshape(longCondition, title="Long", style=shape.xcross, location=location.belowbar, color=color.green, size=size.small , transp = 0 )
plotshape(shortCondition, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small , transp = 0 )
if Short_condition
strategy.entry("S", strategy.short)
per(pcnt) =>
strategy.position_size != 0 ? round(pcnt / 100 * strategy.position_avg_price / syminfo.mintick) : float(na)
stoploss=input(title=" stop loss", defval=6, minval=0.01)
los = per(stoploss)
q=input(title=" qty percent", defval=100, minval=1)
strategy.exit("SL", qty_percent = q,loss = los)
strategy.close_all(when = Short_close)
//By wielkieef
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